Upsolver Reviews & Pricing

by Upsolver | Founded 2014, Tel Aviv, Israel

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What is Upsolver?

Industry Specialties: Serves all industries

Upsolver is a big data solution for ingesting and maintaining data at scale. It delivers exactly-once, strongly-ordered data in real time. It can ingest data from a variety of database types and formats.

It identifies and addresses data quality issues during the ingestion process to avoid downstream errors and can automatically adjust for upstream schema changes. It uses cloud infrastructure and can deploy to AWS on a virtual private cloud. Processes can be configured through either SQL or an integrated development environment.

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Based on 3 reviews:

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Upsolver Pricing

Based on our most recent analysis, Upsolver pricing starts at $1,000 (Quote-based).

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Starting From: $1,000
Pricing Model: Quote-based
Free Trial: Yes, Request for Free

Training Resources

Upsolver is supported with the following types of training:

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In Person
Live Online
Videos
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Support

The following support services are available for Upsolver:

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Knowledge Base
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24/7 Live Support

Upsolver Benefits and Insights

Why use Upsolver?

Key differentiators & advantages of Upsolver

Ensure Data Quality: Keep transformation pipelines clean and catch technical problems and human errors while masking sensitive data.
Ingest Data Fast: Bring in large quantities of big and streaming data at high speed. Leverage automation to orchestrate pipelines and integrate best practices.
Boost Data Reliability: Get data delivered on-time, exactly-once and strongly-ordered. Automatically protect data from upstream changes and adapt as schemas change.
Monitor Incoming Data: Get alerts about incoming data and schema issues, and resolve anomalies before they reach the warehouse or lake.

Industry Expertise

It’s useful for any organization ingesting and handling big data.

Upsolver Reviews

Average customer reviews & user sentiment summary for Upsolver:

3 reviews

100%

of users would recommend this product

Key Features

Real-Time Ingestion: Set up tables by ingesting from Kafka, Kinesis, S3 and databases in real time to improve freshness downstream.
Cloud Infrastructure: Automatically scale operations to their most economical size without managing server infrastructure.
Implement With AWS: Deploy to an AWS account to connect securely and keep data on a Virtual Private Cloud. Utilize the development sandbox provided by the Upsolver Cloud.
Monotonically Increasing Time Column: Avoid data drift and technical delivery issues with a distributed locking mechanism to ensure reliability.
No-Code Configuration: Set up data ingestion using an integrated development environment that doesn’t require coding knowledge. Users who prefer code can program using SQL.
Multi-Cluster Support: Isolate workloads and scale elastically. Leverage automation and receive performance metrics, including latency and error rates.